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Record W2060478091 · doi:10.1136/ebmh.8.2.41

Rivastigmine modestly improves dementia associated with Parkinson’s disease, but has important adverse effects

2005· letter· en· W2060478091 on OpenAlexaffabout
Tiffany W. Chow

Bibliographic record

VenueEvidence-Based Mental Health · 2005
Typeletter
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsBaycrest HospitalUniversity of Toronto
Fundersnot available
KeywordsRivastigmineMedicineDementiaWeb of scienceInternal medicinePediatricsDiseaseDonepezil

Abstract

fetched live from OpenAlex

Emre M, Aarsland D, Albanese A, et al . Rivastigmine for dementia associated with Parkinson’s disease. New Engl J Med 2004;351:2509–18.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q What is the effect of the dual cholinesterase inhibitor rivastigmine on dementia associated with Parkinson’s disease? ### ![Graphic][5]</img>Design: Randomised controlled trial. ### ![Graphic][6]</img>Allocation: Concealed. ### ![Graphic][7]</img>Blinding: Double blinded. ### ![Graphic][8]</img>Follow up period: 24 weeks. ### ![Graphic][9]</img>Setting: Centres in 11 European countries (including Turkey) and Canada; recruitment from October 2002 to July 2003. ### ![Graphic][10]</img>Patients: 541 people over the age of 50 years diagnosed with Parkinson’s disease (PD; UK PD Society Brain Bank criteria) and mild to moderate PD related dementia (DSM-IV; Mini Mental State Examination (MMSE) score 10–24). Exclusion criteria were: non-PD neurodegeneration; unstable medical comorbidity, disability, or dementia not related to PD; active, uncontrolled seizures; prior major depressive disorder; or use of anticholinergic … [1]: {openurl}?query=rft.jtitle%253DNew%2BEngland%2BJournal%2Bof%2BMedicine%26rft.stitle%253DNEJM%26rft.aulast%253DEmre%26rft.auinit1%253DM.%26rft.volume%253D351%26rft.issue%253D24%26rft.spage%253D2509%26rft.epage%253D2518%26rft.atitle%253DRivastigmine%2Bfor%2BDementia%2BAssociated%2Bwith%2BParkinson%2527s%2BDisease%26rft_id%253Dinfo%253Adoi%252F10.1056%252FNEJMoa041470%26rft_id%253Dinfo%253Apmid%252F15590953%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1056/NEJMoa041470&link_type=DOI [3]: /lookup/external-ref?access_num=15590953&link_type=MED&atom=%2Febmental%2F8%2F2%2F41.atom [4]: /lookup/external-ref?access_num=000225593100006&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /embed/inline-graphic-6.gif

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.350
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.282
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2005
Admission routes2
Has abstractyes

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